Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces that are prone to change as a result of microbial activity. The alterations need to be measured experimentally and interpreted on the scales of interest by means of numerical simulations. It is also required to improve the efficiency of corresponding complex numerical simulation methods.
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Adobe PDF - 16.6 KB - MD5: d6d1a5b0bc3d5c2c38d46c0a4acfbbea
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 2 mm aperture cases at 0.5 bar CO₂ partial pressure. Shown in figure 6 (b) in associated publication.
Adobe PDF - 16.0 KB - MD5: da0b8269cb4b2da56ed86fd589112dc2
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 2 mm aperture cases at 1.0 bar CO₂ partial pressure. Shown in figure 6 (a) in associated publication.
Adobe PDF - 14.8 KB - MD5: e31707a8d5cedc2625e66c908c7daf5e
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 6 mm aperture cases at 0.5 bar CO₂ partial pressure. Shown in figure 6 (b) in associated publication.
Adobe PDF - 14.9 KB - MD5: abb7e99981d28d92443a806b5ee836a7
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 6 mm aperture cases at 1.0 bar CO₂ partial pressure. Shown in figure 5 (a) in associated publication.
Tabular Data - 1.2 KB - 9 Variables, 12 Observations - UNF:6:2yLuR2e2Sf719igm6TYZVA==
Data
Steady-state comparison between experimental and simulation outcomes for calcium concentration (cCa, mg/L) and pH. This file compares the tail-averaged experimental values against the final simulated equilibrium values, calculating the absolute difference for each case.
Tabular Data - 1.1 KB - 6 Variables, 12 Observations - UNF:6:8XQ82oQt0XS4LSUxk8VRDA==
Data
Transient error analysis comparing experimental and simulation time-series data for calcium concentration (cCa, mg/L) and pH. This file contains RMSE and MAE metrics calculated by aligning experimental timestamps with simulated values via linear interpolation, evaluating model performance throughout the entire duration of the experiment. Correspond...
Adobe PDF - 16.2 KB - MD5: eab647cd5da99f10053f5df8c762cfb2
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 experimental cases, derived from time-series calcium concentration and pH data. Shown in figure 7 (a) in associated publication.
Adobe PDF - 16.2 KB - MD5: 0a6aa9c9bb4bfc1a4ae7f5ca0febcf8e
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the grid-convergent resolution, derived from integral quantities. Shown in figure 7 (b) in associated publication.
Adobe PDF - 16.2 KB - MD5: 0311b84a9cc183ed7d9a2f17102a4acf
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the initial grid resolution, derived from integral quantities. Not shown in associated publication.
Python Source Code - 18.5 KB - MD5: 52f7e3e3d37273ff8f7deeb4dfebf033
Code
Supporting Python module providing data loading, parsing, and preprocessing utilities used by the core analysis and plotting routines.
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